Introduction In this article, we’re going to see how the PostgreSQL JDBC Driver implements Statement Caching and what settings we need to configure in order to optimize the performance of our data access layer.
Introduction In this article, we are going to see how we can enable the MySQL JDBC Driver Statement Caching mechanism, which, unfortunately, is not enabled by default. No matter what data access framework you are using, you still need to configure the JDBC Driver if you want to get the most out of the MySQL database engine.
Introduction Recently, I stumbled on the following Twitter thread: This jOOQ feature is indeed really useful since it reduces the number of SQL statements that have to be generated when varying the IN clause parameters dynamically. Starting with Hibernate ORM 5.2.18, it’s now possible to use IN clause parameter padding so that you can improve SQL Statement Caching efficiency. In this article, I’m going to explain how this new mechanism works and why you should definitely consider it when using a relational database system that supports Execution Plan caching.